Efficient data-driven predictive control of nonlinear systems: A review and perspectives by Xiaojie Li, Mingxue Yan, Xuewen Zhang, Minghao Han, Adrian Wing-Keung Law, Xunyuan Yin

“…Model predictive control (MPC) has become a key tool for optimizing real-time operations in industrial systems and processes, particularly to enhance performance, safety, and resilience. …”
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New Approach to Effective Dry Grinding of Materials by Controlling Grinding Media Actions by Samat Baigereyev, Georgiy Guryanov, Ansagan Suleimenov, Boris Abdeyev

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Challenges and control strategies for disrupting passive oxide layer formation in electrochemical machining by Ritesh Kumar Upadhyay

“…It is commonly utilized for machining complex geometries in conductive materials, especially in aerospace, biomedical, and automotive sectors. …”
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Machine learning in modeling, analysis and control of electrochemical reactors: A tutorial review by Wenlong Wang, Zhe Wu, Dominic Peters, Berkay Citmaci, Carlos G. Morales-Guio, Panagiotis D. Christofides

“…The complexity of these systems – arising from coupled electrochemical reactions with mass, heat and charge transport phenomena – poses significant challenges in modeling, analysis, and control. …”
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Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges by Nuria Nievas, Adela Pagès-Bernaus, Francesc Bonada, Lluís Echeverria, Xavier Domingo

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Matching and Control Optimisation of Variable-Geometry Turbochargers for Hydrogen Fuel Cell Systems by Matt L. Smith, Alexander Fritot, Davide Di Blasio, Richard Burke, Tom Fletcher

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Dual Antibiotic-Infused Liposomes to Control Methicillin-Resistant <i>Staphylococcus aureus</i> by Sourav Chakraborty, Piyush Baindara, Surojit Das, Suresh K. Mondal, Pralay Sharma, Austin Jose T, Kumaravel V, Raja Manoharan, Santi M. Mandal

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Identifying stakeholders and analyzing their concerns about African swine fever control in wild boar by Janine Miesch, Jana Schulz, Barbara Thür, Katja Schulz, Annika Frahsa, Salome Dürr

“…This viral disease affects porcine species, leading to severe economic losses when reaching the domestic pig sector. Controlling ASF in wild boar populations is complex and requires coordination among diverse stakeholders with varying roles and interests. …”
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Construction of and Low-Carbon Optimization Strategies for Block-Level Carbon Emission Control Unit by Wenjie LI, Yingsheng ZHENG, Qingfang ZHANG, Qiuyun ZENG

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Comparative Analysis of Control Strategies for Microgrid Energy Management with a Focus on Reinforcement Learning by Parisa Mohammadi, Razieh Darshi, Saeed Shamaghdari, Pierluigi Siano

“…In contrast, reinforcement learning, a branch of machine learning, excels by continuously learning and optimizing through real-time interactions This approach offers greater flexibility and adaptability in complex and dynamic environments. This paper provides a comparative review of various control strategies for microgrid energy management, examining their strengths and limitations. …”
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Balancing growth and green the impact of economic growth financial development technological innovation and economic complexity on carbon neutrality in P5 Plus 1 nations by Sanjeet Singh, Pooja Bansal, Rami Owais, Mohd Shukri Ab Yajid, Sireesha Nanduri, Sandeep Sharma, A. Bhowmik, Jibitesh Kumar Panda

“…The research investigates how four critical factors economic growth, development of the financial sector, technological innovation, and economic complexity affect efforts to reduce carbon emissions and achieve carbon neutrality. …”
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African swine fever virus: Virology, pathogenesis, clinical impact, and global control strategies by Tridiganita Intan Solikhah, Firda Rostiani, Assyuria Fahma Putri Nanra, Adilah Dwi Putri Paras Dewi, Putri Haibah Nurbadri, Qurrotul Aini Dwi Agustin, Gahastanira Permata Solikhah

“…This review synthesizes current knowledge on ASFV’s molecular biology, transmission dynamics, immunopathogenesis, clinical presentations, and control strategies and underscores the urgent need for integrated surveillance systems, cross-sectoral collaboration, and innovative tools for outbreak prediction and disease mitigation.…”
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Robust H∞ Control for Nonlinear Uncertain Switched Descriptor Systems with Time Delay and Nonlinear Input: A Sliding Mode Approach by Mourad Kchaou, Saleh Al Ahmadi

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RISK ANALYSIS AND INTERNAL CONTROL ASSESSMENT - PREMISES FOR IMPROVING MANAGEMENT AT THE LEVEL OF ROMANIAN PUBLIC ENTITIES by CRISTINA MARIA VOINEA, VIOLETA STATE

“…This includes the current process of public administration reform, which aims to improve the management, the administrative capacity and the manner in which the entire Romanian public sector is organized. In this study, we intend to portray the manner in which the internal control system and the internal audit structure of a Romanian public entity are shaped into form. …”
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Contamination of environmental objects with Cryptosporidium spp. oocysts in industrial pig farm and measures to control them by A. S. Novikov, A. L. Kryazhev

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Event-Triggered Impulsive Formation Control for Cooperative Obstacle Avoidance of UAV Swarms in Tunnel Environments by Rui Hao, Wenjie Zhou, Yuanfan Wang, Yuehao Yan

“…Lyapunov stability analysis proves the convergence of the proposed control strategy. This research provides new theoretical and practical references for multi-UAV cooperative control in complex narrow environments.…”
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Modeling and Mathematical Analysis of Liquidity Risk Contagion in the Banking System Using an Optimal Control Approach by Said Fahim, Hamza Mourad, Mohamed Lahby

“…This paper examines the application of contagion models to assessing liquidity risk in the banking sector, leveraging optimal control theory to evaluate potential interventions by central banks. …”
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Automatic PLC Control Logic Generation Method Based on SysML System Design Model by Bo Ling, Changyong Chu, Chuan Xu

“…This method can provide system-level design and analysis capabilities during the initial stages of model development, offering solutions to the challenges of complexity modeling and engineering efficiency. Additionally, it is expected to have wide-ranging applications in the industrial automation sector, thereby contributing to the innovation and advancement of automation systems.…”
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A review on control momentum gyroscopic stabilization for intelligent balance assistance in electric two-wheeler by Prithvi Raj Pedapati, Ramesh Kumar Chidambaram

“…While safety, advancements, and assisting features in four-wheelers have reduced accidents over the past decade, similar advancements in two-wheelers are still in the research stage due to their dynamic complexity. The review analytically presented the two-wheeler stabilization using a Control Momentum Gyroscope to enhance the vehicle stability and support the integration of Intelligent Assisting Systems. …”
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Examining the effect of knowledge-based leadership on organizational innovation with the mediating role of illusion of control and rationality by davar Dirmina, Gholamhasan Shirdel, Seyyed Javad Iranban

“…Introduction In today's world with a completely complex and dynamic environment, organizations need to design and implement strategies that can be used to improve their performance. …”
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